Using Spark in a Time Series?

i wanted to learn how to use spark and how to use this metal into spark, and given a large time series, see how the results will be. So it's really a vigdil when i think of spark, or at least it's my first go to when there are problems that are considered embarrassingly parallel. There's definitely seasonality and some periodic stuff, and certainly some noise in there as well,. But over all, kind of regular, much more predictable than like, the stock market or something like that. Do you think that's a sweet for the augarithm? Or could finance people take an interest in this approach as well? do you have any thoughts on